报告题目：基于复杂网络方法的系统性质挖掘报 告 人：狄增如 教授（北京师范大学）报告时间：2019年1月11日上午10:00至11:00报告地点：南一楼中302 摘要：信息技术飞速发展所催生的大数据时代，为我们深入认识社会经济复杂系统的性质与规律提供了基础。复杂系统的典型特征是是各组分或要素之间的紧密关联和相互作用，而复杂网络是刻画系统相互作用结构的重要手段，因此，复杂网络分析已成为挖掘系统性质与功能的重要手段。以科...

报告题目：Constrained Optimization of Multicast Routing for Wide Area Control of Smart Grid报 告 人：Yuchu Tian教授（澳大利亚昆士兰科技大学）报告时间：2019年01月09日10:30报告地点：南一楼中311Abstract: Depending on specific requirements, a computing or industrial control system can be designed and implemented in different ways. Nevertheless, it can be investigated theoretically from resource sch...

报告题目：Switching in Complex Network Systems: A Control Engineering Perspective报 告 人：Xinghuo Yu教授（澳大利亚RMIT University）报告时间：2019年1月9日9:30报告地点：南一楼中311室 报告内容摘要: Many real-world systems are of large-scale network nature, such as power grids and biological systems. A major challenge is how to deal with sheer size and complexity of these large-scale networked sys...

报告题目：Developments in Type-2 Fuzzy Logic报 告 人：Jonathan Garibaldi（英国诺丁汉大学教授）报告时间：2019年1月8日 上午10:00报告地点：南一楼中311 摘要：Type-2 fuzzy sets and systems, including both interval and general type-2 sets, are now firmly established as tools for the fuzzy researcher that may be deployed on a wide range of applications and in a wide set of contexts. However, in many s...

报告题目：Cooperative Control for Multi-Agent Systems in AC Microgrid Distributed Generation报 告 人：Frank Leroy Lewis教授（The University of Texas at Arlington）报告时间：2019年1月5日10：00报告地点：南一楼311室摘要： With aging power distribution systems and new opportunities for renewable energy generation, the smart grid and microgrid are becoming increasingly important. Microgrid allows th...

报告题目：Containment of Higher-Order Multi-Leader Multi-Agent Systems: A Dynamic Output Approach报 告 人：温广辉 教授（东南大学）报告时间：2019年01月08日15：00报告地点：南一楼中311室 摘要：In recent years, distributed containment control of multi-agent systems has received a great deal of attention from various scientific research communities. In a network of multiple mobile agents in the pres...

2018年国际青年学者东湖论坛专题报告自动化  分论坛一2018.12.26周三下午14:30 南一楼中311序号报告人单位职务报告题目报告一（15:00-15:30）阮  丹美国加州大学洛杉矶分校副教授大数据时期的小数据分析报告二（15:30-16:00）李贤伟德国慕尼黑工业大学洪堡学者Consensus of Multi-Agent Systems with Decentralized Protocols: A Unified Robust Control View报告三（16:00-16:30）徐  仁奥地利G.tec Guger Technologies资深研...

报告题目：Nonlinear Control for Intelligent Vehicles报 告 人：江菁晶报告时间：2018年12月28日9:30—10:30报告地点：南一楼中315 报告摘要：Vehicles are mobile machines transporting people or cargo from one place to another. Typical vehicles include mobile robots, bicycles, motor vehicles (motorcycles, cars, buses, trucks, etc.), railed vehicles (trains, trams, etc.), aircraft and ships. This presen...

报告题目：Beyond Deep Recognition: Discovering Visual Patterns in Big Visual Data报 告 人：Junsong Yuan（袁浚菘）（Associate Professor (tenured), Director of Visual Computing Lab, State University of New York at Buffalo, Buffalo, NY, USA.）报告时间：2018年12月28日14:30报告地点：逸夫科技楼北楼903室 Abstract: Thanks to deep learning, many computer vision tasks nowadays are formulated as the regre...

报告题目: Deep learning and beyond for image understanding报 告 人：Prof. Chunhua Shen（University of Adelaide, Australia）报告时间：2018年12月24日9：30报告地点：南一楼中311 摘要: Dense per-pixel prediction provides an estimate for each pixel given an image, offering much richer information than conventional sparse prediction models. Thus the Computer Vision community have been increasingly shi...